BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Multicore and Gpu Programming: An Integrated Approach

Multicore and Gpu Programming: An Integrated Approach

Multicore and Gpu Programming: An Integrated Approach
Stock photo: cover may vary

Multicore and Gpu Programming: An Integrated Approach Paperback - 2014

by Barlas, Gerassimos

Add to wish list
  • New
  • Paperback
New

Description

Morgan Kaufmann Pub, 2014. Paperback. New. 1st edition. 698 pages. 9.50x7.75x1.50 inches.
Ask the seller a question Add to wish list
A$193.78
A$28.66 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)

Details

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for Multicore and Gpu Programming: An Integrated Approach

From the publisher

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm.

Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines.

tracking-